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IJONIS
Agentic AI

Guardrails

Guardrails are safety mechanisms that keep AI agent behavior within defined boundaries. They encompass input validation, output filtering, action restrictions, and content policies — like highway barriers that keep the agent on the correct course without slowing it down.

Why does this matter?

Guardrails are indispensable for enterprise AI deployment. They prevent agents from disclosing confidential data, executing unauthorized actions, or generating inappropriate content. For regulated industries (finance, healthcare, law), guardrails are a compliance prerequisite.

How IJONIS uses this

We implement multi-layered guardrails: NeMo Guardrails or Guardrails AI for content filtering, Pydantic schemas for structural validation, and role-based permissions for action restrictions. Every guardrail violation is logged and can trigger escalations or automatic shutdowns.

Frequently Asked Questions

What types of guardrails exist for AI agents?
Four main categories: (1) Input guardrails — filter manipulative or harmful inputs, (2) Output guardrails — verify responses for correctness and compliance, (3) Action guardrails — restrict executable actions, (4) Content guardrails — prevent inappropriate or confidential content.
Are guardrails a requirement of the EU AI Act?
The EU AI Act requires adequate risk management measures, human oversight, and transparency for high-risk AI systems. Guardrails are the technical implementation of these requirements. For many enterprise applications, they are de facto regulatory requirements.
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